Text Classification
Transformers
Safetensors
Bengali
electra
bangla
bangla-classifier
multiclass-classifier
text-classifier
Instructions to use SayedShaun/bangla-classifier-multiclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SayedShaun/bangla-classifier-multiclass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SayedShaun/bangla-classifier-multiclass")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SayedShaun/bangla-classifier-multiclass") model = AutoModelForSequenceClassification.from_pretrained("SayedShaun/bangla-classifier-multiclass", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |